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Bio
My research aims to develop artificial agents that can adapt, plan, and act in diverse and uncertain environments. My research work span topic includes model-based reinforcement learning, Bayesian optimization, and active learning. I am particularly enthusiastic about utilizing these techniques to advance medicine and scientific discovery.
I develop trustworthy autonomous artificial agents that make efficient decisions in various real-world applications.My research encompasses multiple subjects, including active learning, reinforcement learning, model evaluation, and natural language generation. I applied these techniques to solve problems in human centered applications, such as education, healthcare, and scientific discovery.
I develop trustworthy autonomous artificial agents that make efficient decisions in various real-world applications.My research encompasses multiple subjects, including active learning, reinforcement learning, model evaluation, and natural language generation. I applied these techniques to solve problems in human centered applications, such as education, healthcare, and scientific discovery.
Research Interests
Papers共 19 篇Author StatisticsCo-AuthorSimilar Experts
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Rylan Schaeffer, Nika Zahedi,Mikail Khona,Dhruv Pai,Sang Truong,Yilun Du, Mitchell Ostrow,Sarthak Chandra,Andres Carranza,Ila Rani Fiete,Andrey Gromov,Sanmi Koyejo
CoRR (2024)
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Crystal T. Chang, Hodan Farah,Haiwen Gui,Shawheen Justin Rezaei, Charbel Bou-Khalil, Ye-Jean Park,Akshay Swaminathan,Jesutofunmi A. Omiye, Akaash Kolluri,Akash Chaurasia,Alejandro Lozano, Alice Heiman,
crossref(2024)
NeurIPS (2023)
ICLR 2023 (2023)
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CoRR (2022)
arXiv (Cornell University) (2022)
The American Economistno. 1 (2022): 140-155
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